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Pose Estimation On Coco

Metrics

AP

Results

Performance results of various models on this benchmark

Model Name
AP
Paper TitleRepository
PATH (Partial FT)77.1HumanBench: Towards General Human-centric Perception with Projector Assisted Pretraining-
BUCTD (PETR, with generative sampling)-Rethinking pose estimation in crowds: overcoming the detection information-bottleneck and ambiguity-
PEFORMER-Xcit-dino-p872.6PE-former: Pose Estimation Transformer-
SOLIDER (swin-B)76.6Beyond Appearance: a Semantic Controllable Self-Supervised Learning Framework for Human-Centric Visual Tasks-
MetaPrompt-SD79.0Harnessing Diffusion Models for Visual Perception with Meta Prompts-
BUCTD (PETR, with generative sampling)77.8Rethinking pose estimation in crowds: overcoming the detection information-bottleneck and ambiguity-
Hulk(Finetune, ViT-L)78.7Hulk: A Universal Knowledge Translator for Human-Centric Tasks-
Hulk(Finetune, ViT-B)77.5Hulk: A Universal Knowledge Translator for Human-Centric Tasks-
OmniPose (WASPv2)79.5OmniPose: A Multi-Scale Framework for Multi-Person Pose Estimation-
I²R-Net (1st stage:HRFormer-B)77.3I^2R-Net: Intra- and Inter-Human Relation Network for Multi-Person Pose Estimation-
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Pose Estimation On Coco | SOTA | HyperAI